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What does big data killing mean?
Big data kill ripe that is? The use of their own user data, the old users to implement price discrimination behavior? For example, the same flight, premium members is a price, ordinary users is a price; the same call for a car, the starting point and distance is the same, some people show 52.1 yuan, some people show 46 yuan?

The essence of big data killing is price discrimination.? Price discrimination? itself is not unusual, once in the traditional business community,? discrimination? s targets were? The price discrimination is not unusual in itself. and also against acquaintances. acquaintances. For example, in tourist attractions, businesses sell goods at higher prices to people who are not from the country. Foreigners?

In traditional commerce, a business will sell goods at a higher price to someone who looks richer by virtue of the way he or she dresses and talks.

It's just that in traditional commerce, ? raw? cooked? can both be discriminated against, whereas with the involvement of data and the like, there is more of a ? killing the familiar? Even in? kill familiarization? s process, big data has become a necessary tool? Each platform will collect a lot of user information, and then based on this user information, coupled with the technology of thousands of people, for different users to give different prices and offers.

Big data to kill the set are based on labels, the existing search results for goods and services are based on consumers' interests, consumption habits and other characteristics. Every time a consumer operates online, it is taken by economic platforms to analyze and mine. The more times customers interconnect with the APP, the stronger the stickiness of the APP, the more the economic platform understands the user's behavior. And on this basis to provide users with personalized customized services and offers.